Associate Professor

Teaching - Tertiary (Education & Training)

The School of Mathematical and Physical Sciences at Macquarie University (MQ) in Sydney, Australia, is investing significantly in expanding its research capacity in statistics and statistical data science. We are seeking an outstanding candidate for a continuing position as Associate Professor (Level D) or Professor (Level E).

We prefer candidates whose research program fosters new collaborations within the School and across the University, encompassing areas such as Statistical Modelling, Computational Statistics, Biostatistics, Astrostatistics, Medical Statistics, Statistical Image Analysis, and Statistical Machine Learning.

The successful candidate will provide leadership and mentorship within the School for the ongoing development of statistics and statistical data science. Leveraging their standing in the field, they will provide a focal point for the future development of the statistics discipline at Macquarie University.

The successful candidate will be employed under the 'Teaching and Research Academic job family - a balanced academic role which combines elements of research, teaching, leadership, and service', typically with a 40% research, 40% teaching and 20% service distribution.

About Us

The School of Mathematical and Physical Sciences comprises the disciplines of Astronomy, Mathematics, Physics, and Statistics. We are committed to fostering an inclusive and diverse workplace where every individual is valued, respected, and supported. Our School actively promotes diversity and inclusivity through a range of initiatives and support mechanisms overseen by the Equity and Diversity Portfolio. These efforts underscore our dedication to creating an environment where everyone can thrive and contribute to their fullest potential.

The School hosts the Statistical Modelling for Complex Data research group, comprising of 15 active members who exploit and develop cutting-edge statistical and computational methods to tackle a variety of real-world problems from small, designed studies to large-scale high-dimensional data challenges. Our research combines applied statistics and statistical theory to offer novel statistics methodology and computational technology for evidence-based science discovery. This position is part of our strategic growth in Statistical Data Science.

The DataX Research Centre is a university-wide partnership for new data science discovery in science, health and society. DataX aims to transform approaches to research in these fields through the development and application of new advanced data analytics and machine learning methods. This creates an outstanding environment to establish new interdisciplinary research collaborations with exceptional groups of academics from many application areas of statistics.

Members of the School are heavily involved in the Macquarie University Astrophysics and Space Technology Research Centre, driving advancements in astrophysics and space science through cutting-edge instrumentation development and complex data-intensive research capabilities. This opens novel opportunities for statistical data scientists to develop data science solutions that contribute to answering big questions about our Universe.

For further information about the School of Mathematical and Physical Sciences visit our home page .

To Apply

To be considered for this position, applicants must respond to the selection criteria and submit the requested documents below in the application process. Applications are accepted via the online recruitment system at

• A cover letter explaining your interest in and suitability for the position and providing a detailed response to all the essential selection criteria.
• A one page statement of your current and future research and funding vision plus a 1⁄2 page statement on your research alignment with research interests and capabilities at Macquarie University.
• A 1⁄2 page statement on teaching interests and approach to teaching.
• A curriculum vitae including a full list of publications and the names of two referees.

Essential selection criteria for appointment at Associate Professor (Level D)

• A PhD in statistics, statistical data science or a related discipline.
• Demonstrated and sustained contributions to undertake outstanding research in statistics or statistical data science aligned with School research areas as evidenced by ongoing publications in top-tier journals and evidence of national or international recognition in the discipline.
• Demonstrated and sustained ability to attract external research funding.
• Demonstrated proficiency in teaching and curriculum development at both the undergraduate and postgraduate levels.
• Willingness and capacity to make important contributions to all activities of the School, including administration and planning.
• Demonstrated professional leadership qualities and willingness for executive administrative responsibilities.
• Outstanding communication skills including the ability to work effectively and collaboratively with key internal and external stakeholders.
• Demonstrated ability to mentor and ensure the successful development of HDR, early and/or mid-career academics.

Desirable selection criteria for appointment at Associate Professor (Level D)

• Capability in leading innovation in cross-disciplinary research.
• Capability and willingness to lead a university or external research group/centre.

Essential selection criteria for appointment at Professor (Level E)

• A PhD in statistics, statistical data science or a related discipline.
• Demonstrated outstanding contributions to research in statistics or statistical data science aligned with School research areas as evidenced by ongoing publications in top-tier journals and recognition as an eminent authority in the discipline.
• Demonstrated ability to attract significant and sustained external research funding.
• Proven excellence in teaching and innovative curriculum development at both the undergraduate and postgraduate levels.
• Willingness and capacity to make a substantial contribution to all activities of the School, including administration and planning.
• Demonstrated professional leadership qualities and a capacity for executive administrative responsibilities as evidenced through a record of significant senior administrative and leadership roles within a university or the broader academic community.
• Outstanding communication skills including the ability to work effectively and collaboratively with key internal and external stakeholders.
• Demonstrated ability and experience to mentor and ensure the successful development of HDR, early and/or mid-career academics as evidenced through a significant track record of successful mentoring activities.

Desirable selection criteria for appointment at Professor (Level E)

• Demonstrated experience in leading innovation in cross-disciplinary research.
• Demonstrated experience in leading a university or external research group/centre.

Salary Package: Associate Professor (Level D) Up to $226k per annum, including ($175,731 to $193,296 p.a. commensurate with experience and 17% employer's superannuation; as of 1 July 2024) or Professor (Level E) Up to $264k per annum, including ($215,440 to $225,625 p.a. commensurate with experience and 17% employer's superannuation; as of 1 July 2024).

Appointment Type: Full-time, continuing.

Enquiries: Professor Samuel Muller, Head of School via

Macquarie is a university engaged with the real and often complex problems and opportunities that define our lives. Since our foundation 54 years ago, we have aspired to be a different type of university: one unbound by ivory towers and sandstone walls. Rather, we are focused on fostering collaboration between students, academics, industry and society, encouraging all to traverse the boundaries of their own perspective and affect change.

Macquarie is a university engaged with the real and often complex problems and opportunities that define our lives. Since our foundation 54 years ago, we have aspired to be a different type of university: one unbound by ivory towers and sandstone walls. Rather, we are focused on fostering collaboration between students, academics, industry and society, encouraging all to traverse the boundaries of their own perspective and affect change.

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